Literature DB >> 17115253

A study of crop-to-crop gene flow using farm scale sites of fodder maize (Zea mays L.) in the UK.

Rebecca Weekes1, Theodore Allnutt, Caroline Boffey, Sarah Morgan, Mark Bilton, Roger Daniels, Christine Henry.   

Abstract

From 2000 to 2003 a range of Farm Scale Evaluation (FSE) trials were established in the UK to assess the effect of the release and management of herbicide tolerant (HT) crops on arable weeds and invertebrates. The FSE trials for maize were also used to investigate crop-to-crop gene flow and to develop a statistical model for the prediction of gene flow frequency that can be used to evaluate current separation distance guidelines for GM crops. Seed samples were collected from the non-GM half of 55 trial sites and 1,055 were tested for evidence of gene flow from the GM HT halves using a quantitative PCR assay specific to the HT (pat) gene. Rates of gene flow were found to decrease rapidly with increasing distance from the GM source. Gene flow was detected in 30% of the samples (40 out of 135) at 150 m from the GM source and events of GM to non-GM gene flow were detected at distances up to and including 200 m from the GM source. The quantitative data were subjected to statistical analysis and a two-step model was found to provide the best fit for the data. A dynamic whole field model predicted that a square field (150 m x 150 m in size) of grain maize would require a separation distance of 3 m for the adjacent crop to be below a 0.9% threshold (with <2% probability of exceeding the threshold). The data and models presented here are discussed in the context of necessary separation distances to achieve various possible thresholds for adventitious presence of GM in maize.

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Year:  2006        PMID: 17115253     DOI: 10.1007/s11248-006-9036-0

Source DB:  PubMed          Journal:  Transgenic Res        ISSN: 0962-8819            Impact factor:   2.788


  4 in total

1.  Crop management and agronomic context of the Farm Scale Evaluations of genetically modified herbicide-tolerant crops.

Authors:  G T Champion; M J May; S Bennett; D R Brooks; S J Clark; R E Daniels; L G Firbank; A J Haughton; C Hawes; M S Heard; J N Perry; Z Randle; M J Rossall; P Rothery; M P Skellern; R J Scott; G R Squire; M R Thomas
Journal:  Philos Trans R Soc Lond B Biol Sci       Date:  2003-11-29       Impact factor: 6.237

2.  Crop-to-crop gene flow using farm scale sites of oilseed rape (Brassica napus) in the UK.

Authors:  Rebecca Weekes; Carola Deppe; Theo Allnutt; Caroline Boffey; Derek Morgan; Sarah Morgan; Mark Bilton; Roger Daniels; Christine Henry
Journal:  Transgenic Res       Date:  2005-10       Impact factor: 2.788

3.  Assessment of real-time PCR based methods for quantification of pollen-mediated gene flow from GM to conventional maize in a field study.

Authors:  Maria Pla; José-Luis La Paz; Gisela Peñas; Nora García; Montserrat Palaudelmàs; Teresa Esteve; Joaquima Messeguer; Enric Melé
Journal:  Transgenic Res       Date:  2006-04       Impact factor: 2.788

4.  The physical location of genes cdc2 and prh1 in maize (Zea mays L.).

Authors:  N Ren; Y C Song; X Z Bi; Y Ding; L H Liu
Journal:  Hereditas       Date:  1997       Impact factor: 3.271

  4 in total
  8 in total

1.  Pollen-mediated gene flow in flax (Linum usitatissimum L.): can genetically engineered and organic flax coexist?

Authors:  A J Jhala; H Bhatt; K Topinka; L M Hall
Journal:  Heredity (Edinb)       Date:  2010-06-16       Impact factor: 3.821

2.  Establishment and optimization of a regionally applicable maize gene-flow model.

Authors:  Ning Hu; Jichao Hu; Xiaodong Jiang; Zongzhi Lu; Yufa Peng; Wanlong Chen; Kemin Yao; Ming Zhang; Shirong Jia; Xinwu Pei; Weihong Luo
Journal:  Transgenic Res       Date:  2014-06-25       Impact factor: 2.788

Review 3.  The variability of processes involved in transgene dispersal-case studies from Brassica and related genera.

Authors:  Rikke Bagger Jørgensen; Thure Hauser; Tina D'Hertefeldt; Naja Steen Andersen; Danny Hooftman
Journal:  Environ Sci Pollut Res Int       Date:  2009-04-22       Impact factor: 4.223

4.  A flexible quantitative methodology for the analysis of gene-flow between conventionally bred maize populations using microsatellite markers.

Authors:  P R H Robson; R Kelly; E F Jensen; G D Giddings; M Leitch; C Davey; A P Gay; G Jenkins; H Thomas; I S Donnison
Journal:  Theor Appl Genet       Date:  2010-11-26       Impact factor: 5.699

5.  Model-based calculating tool for pollen-mediated gene flow frequencies in plants.

Authors:  Wang Lei; Lu Bao-Rong
Journal:  AoB Plants       Date:  2016-12-30       Impact factor: 3.276

6.  Spread of volunteer and feral maize plants in Central Europe: recent data from Austria.

Authors:  Kathrin Pascher
Journal:  Environ Sci Eur       Date:  2016-12-30       Impact factor: 5.893

7.  Incorporating the field border effect to reduce the predicted uncertainty of pollen dispersal model in Asia.

Authors:  Yuan-Chih Su; Cheng-Bin Lee; Tien-Joung Yiu; Bo-Jein Kuo
Journal:  Sci Rep       Date:  2021-11-12       Impact factor: 4.379

8.  Application of the maximum threshold distances to reduce gene flow frequency in the coexistence between genetically modified (GM) and non-GM maize.

Authors:  Ning Hu; Ji-Chao Hu; Xiao-Dong Jiang; Wei Xiao; Ke-Min Yao; Liang Li; Xin-Hai Li; Xin-Wu Pei
Journal:  Evol Appl       Date:  2022-03-11       Impact factor: 5.183

  8 in total

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